Telit Cinterion Adds 5G to NVIDIA Jetson Thor

Telit Cinterion's 5G modules now integrate with NVIDIA's Jetson Thor platform, enabling real-time AI robotics in mobile environments.

In a move that’s set to seriously accelerate the development of autonomous systems, Telit Cinterion just announced its high-bandwidth 5G modules are now fully compatible with NVIDIA’s powerhouse Jetson Thor computing platform. This isn’t just a simple connectivity upgrade we’re talking about enabling real-time, low-latency communication for AI-driven robotics operating in the field, from warehouse logistics bots to agricultural automation and even public safety drones. The integration specifically leverages Telit’s FX9800-W series 5G modems, which support both sub-6 GHz and millimeter-wave spectrums, giving these mobile machines the ability to transmit massive sensor data loads and receive complex AI model updates without skipping a beat. As Telit Cinterion’s CTO, Manish Watwani, put it, “This solves one of the biggest hurdles in mobile robotics: getting supercomputing-level data in and out of a machine that’s constantly on the move, without hitting network bottlenecks.”

Here’s how the tech actually works in practice. The FX9800-W module connects directly to the Jetson Thor’s PCIe interface, delivering downlink speeds up to 4 Gbps and ultra-reliable low-latency communication (URLLC) capabilities as tight as 1 millisecond. That kind of performance is what allows an autonomous robot to stream lidar, video, and inertial measurement unit (IMU) data back to a central operating system while simultaneously receiving navigation corrections or new object recognition models on the fly. The modules also feature integrated SIM (iSIM) support and Telit’s One Edge management platform, which lets operators remotely manage and secure thousands of deployed robots without ever physically touching them. It’s a full-stack solution that tackles both the hardware and operational sides of large-scale robotic deployments.

The implications here are pretty enormous for industries looking to adopt AI robotics but worried about connectivity limitations. With this kind of 5G integration, companies can now deploy Jetson Thor-powered robots in environments where Wi-Fi is spotty or nonexistent think construction sites, shipping ports, or wide-area agricultural operations. NVIDIA’s VP of Embedded and Edge Computing, Deepu Talla, emphasized that “seamless, high-throughput connectivity is non-negotiable for the next generation of AI robotics, and partnerships like this ensure that our platform performs optimally in real-world conditions.” For automation engineers, this means they can finally design systems that aren’t tethered to fixed networks, unlocking a new level of flexibility and intelligence for mobile machines.